Internet Panels, Professional Respondents, and Data Quality
Internet Panels, Professional Respondents, and Data Quality
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DOI：
10.1027/1614-2241/a000094
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发表时间：
2015-01-01
影响因子：
3.1
通讯作者：
Hox, Joop J.
中科院分区：
文献类型：
--
作者：
Matthijsse, Suzette M.;de Leeuw, Edith D.;Hox, Joop J.
大多数网络调查通过非概率或选择加入的在线小组收集数据，这些小组的特点是自我选择。在线研究中一个令人担忧的问题是专业受访者的出现，他们经常参与调查，这样做主要是为了激励。这项研究调查了专业受访者是否能在在线小组中区分开来，以及他们提供的数据是否比非专业人士的数据质量低。我们分析了NOPVO(荷兰在线小组比较)研究的数据集，其中包括19个小组，这些小组总共涵盖了荷兰在线市场研究中90%的受访者。潜在类别分析显示，可以区分出四种类型的受访者，从专业受访者到利他主义受访者。图中描绘了专业受访者的概况。专业受访者似乎不会对数据质量构成太大威胁。
Most web surveys collect data through nonprobability or opt-in online panels, which are characterized by self-selection. A concern in online research is the emergence of professional respondents, who frequently participate in surveys and are mainly doing so for the incentives. This study investigates if professional respondents can be distinguished in online panels and if they provide lower quality data than nonprofessionals. We analyzed a data set of the NOPVO (Netherlands Online Panel Comparison) study that includes 19 panels, which together capture 90% of the respondents in online market research in the Netherlands. Latent class analysis showed that four types of respondents can be distinguished, ranging from the professional respondent to the altruistic respondent. A profile of professional respondents is depicted. Professional respondents appear not to be a great threat to data quality.